"By now, everyone knows that generative AI can be flaky. If you're using it to edit your novel or to create an image, the AI might add elements that are inconsistent with your narrative or lose track of what it's supposed to do with the picture. Sometimes, flakiness is worth the time taken if it helps you iterate on an idea."
"But, when it comes to detailed processes, such as a financial forecast, be prepared to spend enormous amounts of time double-checking and correcting the bot -- or you'll be led astray. Also: If AI is so amazing, why does ChatGPT melt down over this simple image edit task? Creating a business plan is an illustrative test of OpenAI's ChatGPT, or any generative AI program. I've spent weeks working with ChatGPT on hypothetical business plans, and the results have been helpful, but also riddled with errors."
Generative AI can be flaky. When used to edit novels or create images, AI may add elements inconsistent with narratives or lose track of tasks. Flakiness can be useful for iterating ideas, but detailed processes such as financial forecasts require extensive double-checking to avoid significant errors. ChatGPT using GPT-5 generated Excel tables and business-plan outputs that were helpful in concept but contained numerous mistakes. Longer ChatGPT sessions tend to accumulate more errors, reducing personal productivity and increasing time spent correcting outputs. A legal claim alleges that some AI training and operation used copyrighted material without authorization.
Read at ZDNET
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